Sports Video Mining with Mosaic
Tao Mei; Yu-Fei Ma; He-Qin Zhou; Wei-Ying Ma; Hong-Jiang Zhang
Multimedia Modelling Conference, 2005. MMM 2005. Proceedings of the 11th International
Volume , Issue , 12-14 Jan. 2005 Page(s): 107 - 114
Digital Object Identifier   10.1109/MMMC.2005.68
Summary: Video is an information-intensive media with much redundancy. Therefore, it is desirable to be able to mine structure or semantics of video data for efficient browsing, summarization and highlight extraction. In this paper, we propose a generic approach to key-event as well as structure mining for sports video analysis. Mosaic is generated for each shot as the representative image of shot content. Based on mosaic, sports video is mined by the method with prior knowledge and without prior knowledge. Without prior knowledge, our system may locate plays by discriminating those segments without essential content, such as breaks. If prior knowledge is available, the key-events in plays are detected using robust features extracted from mosaic. Experimental results have demonstrated the effectiveness and robustness of this sports video mining approach.

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